A single model scale challenges the flexibility of a production retrieval system: some settings need it faster, others need a smaller index, and the right trade-off changes with the workload. In the context of information retrieval (IR), a transformer-based model can be made smaller in three ways---using fewer layers,...
Yu Wang, Shengyao Zhuang, Xue-Guang Ma et al.· 1 citation
This work investigates whether written narratives alone can evoke human temporal illusions, using a new benchmark of 6,684 narrative pairs spanning five illusions and finds that human readers prefer expected scenarios in only two of the five illusions, those where the manipulation is directly visible in text rather tha...
This work proposes VerTox, the first framework to formulate corpus poisoning as a verifiable reward-guided reinforcement learning (RLVR) problem, and produces adversarial documents that frequently rank higher than target documents across major neural ranking architectures, as well as a proprietary commercial embedding...
Zhi-Qi Huang, Vivek Datla, Zhichao Xu et al.· 0 citations
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